Add wos sample results library

02-data/intermediate/wos_sample/c25a968fb794ae3b006828d83fa05cc6-guan-ming/info.yaml

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+abstract: 'Background: The rampant urbanization and medical marketization in China
+
+  have resulted in increased vulnerabilities to health and socioeconomic
+
+  disparities among the rural migrant workers in urban China. In the
+
+  Chinese context, the socioeconomic characteristics of rural migrant
+
+  workers have attracted considerable research attention in the recent
+
+  past years. However, to date, no previous studies have explored the
+
+  association between the socioeconomic factors and social security among
+
+  the rural migrant workers in urban China. This study aims to explore the
+
+  association between socioeconomic inequity and social security inequity
+
+  and the subsequent associations with medical inequity and reimbursement
+
+  rejection.
+
+  Methods: Data from a regionally representative sample of 2009 Survey of
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+  Migrant Workers in Pearl River Delta in China were used for analyses.
+
+  Multiple logistic regressions were used to analyze the impacts of
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+  socioeconomic factors on the eight dimensions of social security (sick
+
+  pay, paid leave, maternity pay, medical insurance, pension insurance,
+
+  occupational injury insurance, unemployment insurance, and maternity
+
+  insurance) and the impacts of social security on medical reimbursement
+
+  rejection. The zero-inflated negative binomial regression model (ZINB
+
+  regression) was adopted to explore the relationship between
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+  socioeconomic factors and hospital visits among the rural migrant
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+  workers with social security.
+
+  Results: The study population consisted of 848 rural migrant workers
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+  with high income who were young and middle-aged, low-educated, and
+
+  covered by social security. Reimbursement rejection and abusive
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+  supervision for the rural migrant workers were observed. Logistic
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+  regression analysis showed that there were significant associations
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+  between socioeconomic factors and social security. ZINB regression
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+  showed that there were significant associations between socioeconomic
+
+  factors and hospital visits among the rural migrant workers. Also,
+
+  several dimensions of social security had significant associations with
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+  reimbursement rejections.
+
+  Conclusions: This study showed that social security inequity, medical
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+  inequity, and reimbursement inequity happened to the rural migrant
+
+  workers simultaneously. Future policy should strengthen health justice
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+  and enterprises'' medical responsibilities to the employed rural migrant
+
+  workers.'
+affiliation: 'Guan, M (Corresponding Author), Xuchang Univ, Family Issues Ctr, Rd
+  Bayi 88, Xuchang, Henan, Peoples R China.
+
+  Guan, M (Corresponding Author), Xuchang Univ, Sch Business, Rd Bayi 88, Xuchang,
+  Henan, Peoples R China.
+
+  Guan, Ming, Xuchang Univ, Family Issues Ctr, Rd Bayi 88, Xuchang, Henan, Peoples
+  R China.
+
+  Guan, Ming, Xuchang Univ, Sch Business, Rd Bayi 88, Xuchang, Henan, Peoples R China.'
+article-number: '193'
+author: Guan, Ming
+author-email: gming0604@163.com
+author_list:
+- family: Guan
+  given: Ming
+da: '2023-09-28'
+doi: 10.1186/s12939-017-0692-x
+files: []
+issn: 1475-9276
+journal: INTERNATIONAL JOURNAL FOR EQUITY IN HEALTH
+keywords: 'Social class; Rural migrant workers; Social security inequity; Medical
+
+  inequity; Reimbursement rejection'
+keywords-plus: 'QUALITY-OF-LIFE; HEALTH-CARE; WORKING-CLASS; INSURANCE; POPULATION;
+
+  ACCESS; PREVALENCE; INEQUALITY; MIGRATION; EQUITY'
+language: English
+month: NOV 7
+number-of-cited-references: '68'
+orcid-numbers: Guan, Ming/0000-0002-8861-1281
+papis_id: a736bf3ba1107c7aa77e67ea69110b27
+ref: Guan2017shouldpoor
+researcherid-numbers: Guan, Ming/AGL-7074-2022
+times-cited: '9'
+title: Should the poor have no medicines to cure? A study on the association between
+  social class and social security among the rural migrant workers in urban China
+type: Article
+unique-id: WOS:000414914900001
+usage-count-last-180-days: '4'
+usage-count-since-2013: '54'
+volume: '16'
+web-of-science-categories: Public, Environmental \& Occupational Health
+year: '2017'